A BAP1 Mutation-specific MicroRNA Signature Predicts Clinical Outcomes in Clear Cell Renal Cell Carcinoma Patients with Wild-type BAP1

被引:21
|
作者
Ge, Yu-Zheng [1 ]
Xu, Lu-Wei [1 ]
Zhou, Chang-Cheng [1 ]
Lu, Tian-Ze [2 ]
Yao, Wen-Tao [1 ]
Wu, Ran [1 ]
Zhao, You-Cai [3 ]
Xu, Xiao [4 ]
Hu, Zhi-Kai [1 ]
Wang, Min [1 ]
Yang, Xiao-Bing [3 ]
Zhou, Liu-Hua [1 ]
Zhong, Bing [5 ]
Xu, Zheng [1 ]
Li, Wen-Cheng [1 ]
Zhu, Jia-Geng [1 ]
Jia, Rui-Peng [1 ]
机构
[1] Nanjing Med Univ, Nanjing Hosp 1, Dept Urol, 68 Changle Rd, Nanjing 210006, Jiangsu, Peoples R China
[2] Nantong Hosp Tradit Chinese Med, Dept Urol, 41 Jianshe Rd, Nantong 226006, Peoples R China
[3] Nanjing Med Univ, Nanjing Hosp 1, Dept Pathol, 68 Changle Rd, Nanjing 210006, Jiangsu, Peoples R China
[4] JiangSu Armed Police Gen Hosp, Dept Radiat Oncol, 8 Jiangdu South Rd, Yangzhou 225003, Jiangsu, Peoples R China
[5] Nanjing Med Univ, Huaian Peoples Hosp 1, Dept Urol, 6 Beijing West Rd, Huaian 223300, Peoples R China
来源
JOURNAL OF CANCER | 2017年 / 8卷 / 13期
基金
中国国家自然科学基金;
关键词
clear cell renal cell carcinoma; BAP1; mutation; microRNA; prognosis; EXPRESSION PROFILES; PBRM1; IDENTIFICATION; TUMOR; PROGNOSIS; SURVIVAL; SETD2; SERUM;
D O I
10.7150/jca.20234
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: Clear cell renal cell carcinoma (ccRCC) is the most prevalent histologic subtype of kidney cancers in adults, which could be divided into two distinct subgroups according to the BRCA1 associated protein-1 (BAP1) mutation status. In the current study, we comprehensively analyzed the genome-wide microRNA (miRNA) expression profiles in ccRCC, with the aim to identify the differentially expressed miRNAs between BAP1 mutant and wild-type tumors, and generate a BAP1 mutation-specific miRNA signature for ccRCC patients with wild-type BAP1. Methods: The BAP1 mutation status and miRNA profiles in BAP1 mutant and wild-type tumors were analyzed. Subsequently, the association of the differentially expressed miRNAs with patient survival was examined, and a BAP1 mutation-specific miRNA signature was generated and examined with Kaplan-Meier survival, univariate and multivariate Cox regression analyses. Finally, the bioinformatics methods were adopted for the target prediction of selected miRNAs and functional annotation analyses. Results: A total of 350 treatment-naive primary ccRCC patients were selected from The Cancer Genome Atlas project, among which 35 (10.0%) subjects carried mutant BAP1 and had a shorter overall survival (OS) time. Furthermore, 33 miRNAs were found to be differentially expressed between BAP1 mutant and wild-type tumors, among which 11 (miR-149, miR-29b-2, miR-182, miR-183, miR-21, miR-365-2, miR-671, miR-365-1, miR-10b, miR-139, and miR-181a-2) were significantly associated with OS in ccRCC patients with wild-type BAP1. Finally, a BAP1 mutation-specific miRNA signature consisting of 11 miRNAs was generated and validated as an independent prognostic parameter. Conclusions: In summary, our study identified a total of 33 miRNAs differentially expressed between BAP1 mutant and wild-type tumors, and generated a BAP1 mutation-specific miRNA signature including eleven miRNAs, which could serve as a novel prognostic biomarker for ccRCC patients with wild-type BAP1.
引用
收藏
页码:2643 / 2652
页数:10
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